# AutoGen

> Microsoft's open-source framework for multi-agent conversations with tool use, memory persistence, and vector retrieval integration for collaborative LLM agents and chat systems.

- **URL:** https://github.com/microsoft/autogen
- **Category:** LLM Frameworks
- **Tags:** LLM Vector Store, Agentic AI, Tool Integration
- **Updated:** 2026-04-22 13:39
- **Canonical page:** https://vectordb.ever.works/items/autogen

## Details

## Overview

AutoGen enables multi-agent systems where agents converse, use tools, and retrieve from vector stores.

## Vector Integration

Supports retrieval from vector DBs via tool calling and custom functions, e.g., Qdrant retrievers in agent loops.

## Features

- **Tool Calling**: Code execution, API calls, custom functions
- **Memory**: Conversation history, group chat memory
- **Agents**: Customizable agents with LLM backends

## Use Cases

- Group chat agents for complex problem-solving
- Tool-using chatbots
- Collaborative task agents

## Comparisons

AutoGen emphasizes conversational multi-agent vs LangChain's structured chains.

## Pricing

Open-source (Apache 2.0).

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